Using rich data insight to drive proactive, predictive maintenance

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ThyssenKrupp Elevator Americas

CGI helps ThyssenKrupp Elevator reach new heights of performance with the Internet of Things

ThyssenKrupp Elevator (TKE) Americas is the largest producer of elevators in the Americas, providing and maintaining more than one million elevators around the world. TKE wanted to transition to a more proactive and predictive maintenance approach driven by real-time data and rich, valuable insight. CGI was brought in to design, build and implement an insight-driven pilot elevator monitoring system that leverages the latest Internet of Things (IoT) technology and is helping TKE to achieve its strategic maintenance objectives.

The challenge

TKE had a number of initiatives underway around the world to enable remote monitoring of its elevators. However, none of the solutions provided the data and insight required to move from a traditional reactive maintenance approach to one that is predictive and even preemptive, and all were challenged by information overload issues that limited their value. TKE wanted a solution that would enable it to anticipate and quickly resolve maintenance issues for the majority of the 1.2 million elevators it services across the globe.

The solution

CGI’s development team built a pilot, cloud-based elevator monitoring system using Microsoft’s Azure Intelligent System Service (ISS), Microsoft’sAzure Machine Learning, HDInsight and our own Intelligent Enterprise Framework (IEF), which facilitates the rapid deployment of IoT applications.

Integrated with TKE’s elevator sensors, the system harnesses data from each sensor , processes the data using business rules defined by TKE, and generates rich data insight using predictive analytics. The resulting insight is then made available to supervisors and site technicians via two different user interfaces in the form of maintenance alerts, instructions and recommendations. Feedback from users is integrated within the system, enabling it to become more accurate over time.

The results

The system was implemented for a small number of elevators run by TKE in the Seattle, Washington area in the summer of 2014. The pilot project was a success, enabling TKE to reduce elevator downtime and improve resource planning, cost forecasting and maintenance scheduling. In turn, TKE has been able to provide a more competitive offering to its customers.